Stochastic Analysis and Related Topics: In Honour of Ali Süleyman Üstünel, Paris, June 2010: Springer Proceedings in Mathematics & Statistics, cartea 22
Editat de Laurent Decreusefond, Jamal Najimen Limba Engleză Paperback – 20 sep 2014
Probability theory is first and foremost aimed at solving real-life problems containing randomness. Markov processes are one of the key tools for modeling that plays a vital part concerning such problems. Contributions on inventory control, mutation-selection in genetics and public-private partnerships illustrate several applications in this volume. Stochastic differential equations, be they partial or ordinary, also play a key role in stochastic modeling. Two of the contributions analyze examples that share a focus on probabilistic tools, namely stochastic analysis and stochastic calculus. Three other papers are devoted more to the theoretical development of these aspects. The volume addresses graduate students and researchers interested in stochastic analysis and its applications.
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Paperback (1) | 376.60 lei 43-57 zile | |
Springer Berlin, Heidelberg – 20 sep 2014 | 376.60 lei 43-57 zile | |
Hardback (1) | 383.74 lei 43-57 zile | |
Springer Berlin, Heidelberg – 4 aug 2012 | 383.74 lei 43-57 zile |
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Specificații
ISBN-13: 9783642448034
ISBN-10: 3642448038
Pagini: 228
Ilustrații: XII, 216 p.
Dimensiuni: 155 x 235 x 12 mm
Greutate: 0.33 kg
Ediția:2012
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Springer Proceedings in Mathematics & Statistics
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3642448038
Pagini: 228
Ilustrații: XII, 216 p.
Dimensiuni: 155 x 235 x 12 mm
Greutate: 0.33 kg
Ediția:2012
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Springer Proceedings in Mathematics & Statistics
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
1.Boubacar Bah, Etienne Pardoux and Ahmadou Bamba Sow: A look–down model with selection.- 2.Alain Bensoussan: Control of Inventories with Markov Demand.- 3.Zdzisław Brzezniak and Annie Millet: On the splitting method for some complex-valued quasilinear evolution equations.- 4. Caroline Hillairet and Monique Pontier: A Modelisation of Public Private Parternships with failure time.- 5.Joseph Najnudel, Daniel Stroock and Marc Yor: On a flow of transformations of a Wiener space.- 6.Nicolas Privault: Measure invariance on the Lie-Wiener path space.- 7.Denis Talay: Derivatives of Solutions of Semilinear Parabolic PDEs and Variational Inequalities with Neumann Boundary Conditions.- 8.Samy Tindel and Iván Torrecilla: Some differential systems driven by a fBm with Hurst parameter greater than ¼.- 9.Ali Suleyman Üstünel: Transportation cost inequalities for diffusions under uniform distance.- Glossary.
Textul de pe ultima copertă
Since the early eighties, Ali Süleyman Üstünel has been one of the main contributors to the field of Malliavin calculus. In a workshop held in Paris, June 2010 several prominent researchers gave exciting talks in honor of his 60th birthday. The present volume includes scientific contributions from this workshop.
Probability theory is first and foremost aimed at solving real-life problems containing randomness. Markov processes are one of the key tools for modeling that plays a vital part concerning such problems. Contributions on inventory control, mutation-selection in genetics and public-private partnerships illustrate several applications in this volume. Stochastic differential equations, be they partial or ordinary, also play a key role in stochastic modeling. Two of the contributions analyze examples that share a focus on probabilistic tools, namely stochastic analysis and stochastic calculus. Three other papers are devoted more to the theoretical development of these aspects. The volume addresses graduate students and researchers interested in stochastic analysis and its applications.
Probability theory is first and foremost aimed at solving real-life problems containing randomness. Markov processes are one of the key tools for modeling that plays a vital part concerning such problems. Contributions on inventory control, mutation-selection in genetics and public-private partnerships illustrate several applications in this volume. Stochastic differential equations, be they partial or ordinary, also play a key role in stochastic modeling. Two of the contributions analyze examples that share a focus on probabilistic tools, namely stochastic analysis and stochastic calculus. Three other papers are devoted more to the theoretical development of these aspects. The volume addresses graduate students and researchers interested in stochastic analysis and its applications.
Caracteristici
Provides articles by leading researchers in the field Offers a comprehensive account of stochastic analysis and related topics Intended for graduate students and researches interested in stochastic analysis and its applications? Includes supplementary material: sn.pub/extras